Laboratory Medicine ›› 2021, Vol. 36 ›› Issue (1): 75-79.DOI: 10.3969/j.issn.1673-8640.2021.01.015

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Establishment and evaluation of fast predictive algorithm for urinary tract infection pathogen in patients with nephrolithiasis

XIAO Nan1, ZHOU Jia2, DUAN Ning1, ZHU Tianyang1, WANG Lijun1()   

  1. 1. Department of Laboratory Medicine,Beijing Tsinghua Changgung Hospital,Tsinghua University,Beijing 102218,China
    2. Department of Clinical Laboratory,Peking University First Hospital,Beijing 100034,China
  • Received:2019-09-17 Online:2021-01-30 Published:2021-02-05

Abstract:

Objective To establish an algorithm that can predict potential pathogens causing urinary tract infection(UTI)based on routine urinalysis in nephrolithiasis patients. Methods A total of 414 clean-catch urine specimens of nephrolithiasis patients were collected. The comparison between flow cytometry count,nitrite,leukocyte esterase and urine culture was undertaken to assess the optimal cut-off value for predictive algorithm. Results The cut-off value of flow cytometry bacterial count was 231.8/μL(sensitivity 73.97%,specificity 91.14%). Furthermore,the samples with nitrite positive(OR=7.789,95%CI: 3.304-18.358,P<0.000 1) and/or leukocyte esterase 4+(OR=2.738,95%CI: 1.358-5.519,P=0.004 9) were more likely to contain Gram negative bacteria. Conclusion A fast predictive algorithmusing the combination of urine dipstick and flow cytometry can predict the infection of Gram-positive bacteria and Gram-negative bacteria in nephrolithiasis patientsand has certain clinical value.

Key words: Nephrolithiasis, Urinary tract infection, Flow cytometry, Urine dipstick

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